A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.
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1. A method for determining glycemic risk of a patient during pregnancy using a continuous glucose monitor, the method comprising: continuously collecting glucose measurements of the patient via a sensor of the continuous glucose monitor, wherein the glucose measurements are indicative of an interstitial glucose level; communicating the glucose measurements collected by the continuous glucose monitor to a processor of a computing device; determining a hypoglycemia risk level based on a comparison of the glucose measurements collected by the continuous glucose monitor to a baseline threshold, wherein the baseline threshold is based on a number and a magnitude of glucose measurements below a predetermined minimum glucose concentration; receiving, by the computing device, an indication that the patient is pregnant; in response to receiving the indication that the patient is pregnant, adjusting the baseline threshold to an adjusted threshold that requires one or both of lower magnitude glucose measurements below the predetermined minimum glucose concentration or a greater number of glucose measurements below the predetermined minimum glucose concentration in comparison to the number and/or the magnitude of glucose measurements below the predetermined minimum glucose concentration of the baseline threshold in order to increase the hypoglycemia risk level; and displaying on a display of the computing device a visual representation of the hypoglycemia risk level, wherein the hypoglycemia risk level comprises one of high, moderate or low risk.
This invention relates to a method for assessing glycemic risk in pregnant patients using a continuous glucose monitor (CGM). The method addresses the challenge of accurately evaluating hypoglycemia risk during pregnancy, where standard thresholds may not account for physiological changes that increase susceptibility to low blood sugar. The system continuously collects interstitial glucose measurements via a CGM sensor and transmits them to a computing device. A processor analyzes the data by comparing glucose readings to a baseline threshold, which is defined by the frequency and severity of measurements falling below a predetermined minimum glucose concentration. Upon receiving confirmation of pregnancy, the system adjusts this threshold to either lower the required magnitude of hypoglycemic events or increase the number of such events needed to trigger a risk alert. This adjustment ensures a more sensitive detection of hypoglycemia risk during pregnancy. The system then categorizes the risk as high, moderate, or low and displays the result on a computing device. The method improves early detection of hypoglycemia in pregnant patients, reducing complications for both mother and fetus.
2. The method of claim 1 , wherein adjusting the baseline threshold to the adjusted threshold further comprises decreasing the predetermined minimum glucose concentration.
A method for adjusting glucose monitoring thresholds in a continuous glucose monitoring (CGM) system addresses the challenge of optimizing hypoglycemia detection while minimizing false alarms. The method involves dynamically modifying a baseline threshold to an adjusted threshold based on real-time glucose data. Specifically, the adjustment includes decreasing a predetermined minimum glucose concentration to improve sensitivity to low glucose levels. This ensures timely alerts for hypoglycemic events while reducing unnecessary notifications for non-critical fluctuations. The method integrates with a CGM system that measures interstitial glucose levels and processes the data to determine when threshold adjustments are necessary. By lowering the minimum glucose concentration, the system enhances its ability to detect early signs of hypoglycemia, particularly in patients prone to rapid glucose drops. The adjustment is based on historical and real-time data trends, ensuring personalized and context-aware threshold management. This approach improves patient safety by balancing alert accuracy and user convenience, reducing alert fatigue while maintaining critical hypoglycemia detection. The method is particularly useful for diabetic patients relying on CGM systems for glucose management.
3. The method of claim 1 , wherein the predetermined minimum glucose concentration is 70 mg/dL.
A method for monitoring and managing glucose levels in a patient involves determining a glucose concentration in a sample, comparing the measured concentration to a predetermined minimum glucose concentration, and generating an alert if the measured concentration is below the threshold. The predetermined minimum glucose concentration is set at 70 mg/dL, which is a critical threshold for identifying hypoglycemia. The method may include additional steps such as collecting the sample, processing the sample to measure glucose concentration, and transmitting the alert to a healthcare provider or the patient. The system may also include a glucose monitoring device, a processing unit, and a communication module to facilitate real-time monitoring and alerting. The method ensures timely intervention to prevent severe hypoglycemic episodes, improving patient safety and outcomes. The system may be integrated into continuous glucose monitoring (CGM) devices or standalone diagnostic tools for clinical or home use. The method is particularly useful for diabetic patients who require frequent glucose monitoring to avoid dangerous low blood sugar levels.
4. The method of claim 1 , further comprising determining the hypoglycemia risk level during a plurality of time periods in one day, and displaying the hypoglycemia risk level for each of the plurality of time periods.
This invention relates to a system for monitoring and predicting hypoglycemia risk in individuals, particularly those with diabetes or other conditions requiring glucose management. The system continuously tracks glucose levels and other physiological or behavioral data to assess the likelihood of hypoglycemia (low blood sugar) occurring at different times throughout the day. By analyzing this data, the system calculates a hypoglycemia risk level for multiple time periods within a single day, providing users with a time-specific risk assessment. The risk levels are then displayed to the user, allowing them to take preventive measures, such as adjusting insulin doses or consuming carbohydrates, during high-risk periods. The system may also incorporate historical data, user inputs, or external factors like meal times or physical activity to improve prediction accuracy. The goal is to enhance patient safety by proactively identifying and mitigating hypoglycemia events before they occur.
5. The method of claim 1 , wherein determining the hypoglycemia risk level is performed by a remote computing device.
A system and method for assessing hypoglycemia risk in a patient involves monitoring physiological data, such as glucose levels, heart rate, and activity levels, to predict the likelihood of hypoglycemic events. The system collects real-time data from wearable or implantable sensors and processes it to identify patterns indicative of hypoglycemia. A risk level is determined based on predefined thresholds or machine learning models trained on historical data. The risk assessment is performed by a remote computing device, which may be a cloud server or a centralized medical data processing system. This remote device receives the physiological data from the patient's monitoring devices, analyzes it, and generates a hypoglycemia risk score or alert. The remote processing allows for centralized data aggregation, advanced analytics, and integration with healthcare provider systems. The system may also include a user interface to display the risk level to the patient or healthcare professionals, enabling timely intervention. The remote computing device ensures scalability, reduces computational load on local devices, and enables real-time monitoring across multiple patients. This approach improves hypoglycemia management by providing accurate, timely risk assessments and reducing the burden on individual monitoring devices.
6. The method of claim 1 , further comprising communicating the collected glucose measurements to a healthcare provider.
A method for monitoring glucose levels involves collecting glucose measurements from a user using a wearable or implantable glucose sensor. The sensor continuously or periodically measures glucose concentrations in the user's body, such as through interstitial fluid or blood. The collected data is processed to generate glucose level readings, which may include time-stamped values, trends, or alerts for abnormal readings. The method further includes transmitting these glucose measurements to a healthcare provider, enabling remote monitoring and analysis. The communication may occur via wireless or wired networks, ensuring real-time or delayed data transfer. This method supports diabetes management by providing healthcare professionals with continuous access to patient glucose data, allowing for timely interventions and personalized treatment adjustments. The system may also include user notifications for immediate feedback and integration with electronic health records for comprehensive patient care.
7. The method of claim 1 , further comprising displaying a recommendation of an intervention based on the collected glucose measurements.
A system and method for monitoring and managing glucose levels in a user, particularly for individuals with diabetes or at risk of hypoglycemia or hyperglycemia. The system collects glucose measurements from a continuous glucose monitoring (CGM) device or other glucose sensors, analyzing the data to detect trends, patterns, or deviations from target glucose ranges. The system processes the collected measurements to identify potential health risks, such as impending hypoglycemic or hyperglycemic events, by comparing the data against predefined thresholds or historical user data. Based on the analysis, the system generates and displays recommendations for interventions, such as adjusting insulin dosage, consuming carbohydrates, or engaging in physical activity, to help the user maintain stable glucose levels. The recommendations are tailored to the user's current glucose trends and historical responses to interventions, ensuring personalized and timely guidance. The system may also integrate with other health monitoring devices or applications to provide a comprehensive health management solution. The goal is to improve glucose control, reduce the risk of complications, and enhance the user's quality of life by providing proactive, data-driven recommendations.
8. The method of claim 1 , further comprising displaying a report comprising a plot of the collected glucose measurements over time.
This invention relates to a system for monitoring and analyzing glucose levels in a patient. The system addresses the challenge of effectively tracking glucose measurements over time to provide actionable insights for diabetes management. The method involves collecting glucose measurements from a continuous glucose monitoring (CGM) device, which provides real-time or periodic readings of the patient's blood glucose levels. These measurements are then processed to generate a report that includes a plot of the glucose measurements over time. The plot visually represents fluctuations in glucose levels, allowing healthcare providers or patients to identify trends, patterns, or anomalies. The system may also include additional features such as alerts for abnormal glucose levels, historical data comparison, and integration with other health monitoring devices. By providing a clear, visual representation of glucose data, the invention helps users make informed decisions about treatment adjustments, dietary changes, or lifestyle modifications to better manage diabetes. The method ensures that glucose monitoring is both comprehensive and user-friendly, enhancing the overall effectiveness of diabetes care.
9. The method of claim 8 , wherein the plot of the collected glucose measurements over time comprises an ambulatory glucose profile.
The invention relates to the analysis of glucose measurements in a medical monitoring system. The technology addresses the challenge of effectively visualizing and interpreting glucose data collected from a patient over time, particularly in ambulatory (non-hospital) settings. The method involves plotting collected glucose measurements over time to generate an ambulatory glucose profile, which provides a continuous representation of glucose levels as the patient moves through daily activities. This profile helps clinicians and patients track glucose trends, identify patterns, and make informed decisions about diabetes management. The method may include additional steps such as filtering the data, normalizing measurements, or applying algorithms to enhance the accuracy and usability of the profile. By presenting glucose data in a structured, time-based format, the invention improves the ability to detect fluctuations, assess treatment effectiveness, and adjust therapeutic strategies. The ambulatory glucose profile serves as a valuable tool for personalized diabetes care, enabling real-time monitoring and long-term analysis of glucose levels in a patient's natural environment.
10. A system for determining glycemic risk of a patient during pregnancy, the system comprising: a continuous glucose monitor configured to collect glucose measurements of the patient, the continuous glucose monitor comprising a glucose sensor configured to sense an interstitial glucose level; and a computing device in communication with the continuous glucose monitor, the computing device comprising a display, a processor, and a non-volatile memory coupled with the processor, the memory storing a glucose data processing program that, when executed by the processor, causes the processor to: determine a hypoglycemia risk level based on a comparison of the glucose measurements to a baseline threshold, wherein the baseline threshold is based on a a number and a magnitude of glucose measurements below a predetermined minimum glucose concentration, receive an indication that the patient is pregnant, in response to the received indication that the patient is pregnant, adjust the baseline threshold to an adjusted threshold that requires one or both of lower magnitude glucose measurements below the predetermined minimum glucose concentration or a greater number of glucose measurements below the predetermined minimum glucose concentration in comparison to the number and/or the magnitude of glucose measurements below the predetermined minimum glucose concentration of the baseline threshold in order to increase the hypoglycemia risk level, and visually present on the display the hypoglycemia risk level.
The system monitors and assesses glycemic risk in pregnant patients using continuous glucose measurements. The system includes a continuous glucose monitor with a sensor that measures interstitial glucose levels and a computing device that processes the data. The computing device determines hypoglycemia risk by comparing glucose measurements to a baseline threshold, which is based on the frequency and severity of glucose readings below a predetermined minimum concentration. When the system receives an indication that the patient is pregnant, it adjusts the baseline threshold to a more stringent level. This adjustment either lowers the required magnitude of glucose measurements below the minimum concentration or increases the number of such measurements needed to trigger a hypoglycemia risk alert. The adjusted threshold ensures that the system accounts for the physiological changes during pregnancy, which may affect glucose regulation. The hypoglycemia risk level is then displayed on the computing device for clinical review. This system helps clinicians identify and manage hypoglycemia risk more accurately in pregnant patients by dynamically adjusting risk assessment parameters based on pregnancy status.
11. The system of claim 10 , wherein the computing device comprises a smartphone.
A system for mobile device-based authentication and secure data access involves a computing device, such as a smartphone, that communicates with a remote server to verify user identity and authorize access to protected resources. The system includes a biometric sensor integrated into the computing device to capture user biometric data, such as fingerprints or facial recognition, and a secure processing module that encrypts and transmits this data to the remote server for authentication. The server compares the received biometric data against stored templates to verify the user's identity. Upon successful authentication, the server generates a secure token and transmits it back to the computing device, which then uses this token to access encrypted data stored locally or on a remote database. The system also includes a secure storage module within the computing device to store encrypted user credentials and session data, ensuring that sensitive information remains protected even if the device is compromised. The smartphone's built-in hardware security features, such as a secure enclave or trusted execution environment, are leveraged to enhance the security of the authentication process. This system provides a seamless and secure method for users to authenticate and access sensitive data using their mobile devices, reducing reliance on traditional password-based authentication methods.
12. The system of claim 10 , wherein the computing device comprises a laptop computer.
A system for portable computing includes a computing device configured to perform specific functions. The computing device is a laptop computer, which provides mobility and portability for users. The laptop computer includes a processor, memory, and a display, enabling it to execute applications, store data, and present information to the user. The system may also include additional components such as input devices, communication interfaces, and peripheral connections to enhance functionality. The laptop computer is designed to operate independently or as part of a larger network, allowing users to perform tasks such as data processing, communication, and multimedia activities. The system addresses the need for portable computing solutions that balance performance, power efficiency, and usability, making it suitable for both personal and professional environments. The laptop computer may incorporate features like battery optimization, thermal management, and ergonomic design to improve user experience and productivity.
13. The system of claim 10 , wherein the predetermined minimum glucose concentration is 70 mg/dL.
A system for monitoring and managing glucose levels in a patient includes a sensor configured to measure glucose concentration in the patient's blood or interstitial fluid. The system determines whether the measured glucose concentration falls below a predetermined minimum threshold, which is set at 70 mg/dL. When the glucose concentration drops below this threshold, the system generates an alert to notify the patient or a healthcare provider. The alert may be transmitted wirelessly to a mobile device or a monitoring station. The system may also include a data storage component to log glucose readings over time, allowing for trend analysis. Additionally, the system may integrate with an insulin delivery device to automatically adjust insulin dosage based on the detected glucose levels, ensuring the patient maintains safe glucose concentrations. The system is designed to prevent hypoglycemia by providing timely interventions when glucose levels fall below the critical threshold of 70 mg/dL.
14. The system of claim 10 , wherein the display is further configured to display a report comprising a plot of the glucose measurements over time.
A system for monitoring and analyzing glucose levels includes a sensor for measuring glucose concentrations in a biological sample, a processor for processing the measurements, and a display for presenting the results. The system is designed to address the need for real-time glucose monitoring, which is critical for managing conditions like diabetes. The sensor collects glucose data at regular intervals, and the processor analyzes the measurements to detect trends, anomalies, or deviations from expected ranges. The display provides visual feedback, including numerical values and graphical representations of the data. In an enhanced configuration, the display generates a report featuring a time-based plot of glucose measurements, allowing users to track fluctuations over extended periods. This visualization helps users and healthcare providers identify patterns, assess treatment effectiveness, and make informed decisions about glucose management. The system may also include alerts for abnormal readings, ensuring timely intervention. The integration of continuous monitoring, data processing, and user-friendly visualization improves the accuracy and usability of glucose monitoring devices, supporting better health outcomes for individuals requiring frequent glucose checks.
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December 15, 2020
April 19, 2022
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